Teradata Client Tool
DBHawk is a web-based Teradata Client tool. It’s a Teradata SQL Assistant/Web Edition alternative with more features and intuitive UI.
Teradata Client Tool
DBHawk Features For Teradata Database
Teradata Client allows data warehouse developers and BI users to browse database schemas, run SQL queries, build SQL Queries using SQL Query Builder, Generate SQL scripts, create SQL reports and schedule reports to receive results by email.
It supports complete business analytics features with intuitive web-based SQL GUI.
Data Browser & SQL Assistant For Teradata
DBHawk web client supports Teradata database browsing feature. Users can view database table data, filter data, count a total number of rows in a table.
DBHawk Data Editor For Teradata
DBHawk data editor allows to create, insert, update, and delete data. Users can also update clob, blob data.
Table Data Filter For Teradata
DBHawk provides advanced database filter on the table and database-view data. With simple clicks, users can apply table data where condition and order by conditions to filter table and view data.
Constraints Manager – Web-Based GUI
With Web-Based SQL Client, users can view table constraints details. It displays Constraint name, Type, Constraint columns.
Database Index
Manager
With Teradata Client, users can view index details including index uniqueness, index type, index columns, and index name.
Database Table Columns Details – Web-based Viewer
SQL Assistant for Teradata supports viewing database table column details.
Database Table Triggers manager for Teradata
Using web-based Teradata SQL Assistant Workbench, Teradata users can manage database Triggers, can view existing table trigger details
Database Table Grants Viewer
Teradata Client display current Object’s granted privileges.
Teradata Table DDL Generator – Web UI
Teradata SQL Client display table DDL with a simple click. A user can generate Table SQL and save SQL.
Database Table Columns Details/Web-based Viewer
SQL Assistant for Teradata supports viewing database table column details.
Teradata Macro with DBHawk
Macros provide a convenient shortcut for executing groups of frequently-run SQL statements. Using Teradata SQL Assistant tool, users can manage Macros, view macro details, modify existing macros, and save SQL.
Teradata Web-based View Manager
Using Teradata Client, users can browse view data, filter data, count total rows in a view, get SQL for the view definition, export view data in various formats such as PDF, CSV, and HTML.
Database Index Manager
With Teradata Client, users can view index details including index uniqueness, index type, index columns, and index name.
Teradata Functions Viewer with DBHawk
Users can view database function details, modify existing functions, and save SQL.
Teradata Procedure with DBHawk
Users can view database Procedure details, modify existing Procedure, and save SQL
Web-based job scheduler for Teradata
DBHawk provides SQL Job Scheduling feature. Using DBHawk Job Scheduler, users can schedule reports or SQL statement to receive results by email or save on the disk.
Teradata SQL Editor & History Viewer
With Teradata SQL Editor, users can execute SQL queries online. It also Formats SQL queries, enables to View SQL query history.
Teradata Report
Builder
DBHawk provides ad-hoc SQL report building capabilities. A user can build parameterized report, group by report, summary report and save it in PDF, XLS, XLSX formats.
Export/Import Data with Intuitive Web-Based UI
DBHawk online export data feature allows exporting table data into CSV, HTML, insert and pdf formats. Users can also import CSV data directly to the database tables. DBHawk parsed input CSV data columns and display column mappings between table columns and uploaded CSV file data columns. After successful import, users can save import as a job and schedule it to run at a regular interval.
Web-Based SQL Query Builder
for Teradata
DBHawk Teradata Query builder supports building SQL Queries by dragging and dropping database tables from a schema browser to the Query Builder window. With the data preview window, users can view data as they build SQL Queries.
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